505 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "U.S" PhD positions in United Kingdom
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two-page research proposal based on the project description outlining how you would approach the project and what methods you would use. Under programme name, please select 'Architecture, Building and
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ADAPT-AI is seeking passionate researchers and practitioners from diverse backgrounds to join our innovative doctoral training programme exploring how audiences experience and engage with creative
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. Experience in programming (e.g. Python, C++). Strong analytical and simulation skills. Desirable Criteria Prior experience conducting research or contributing to research publications. Funding and Support The
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programming and software skills (Python essential; C++/Fortran beneficial) Interest in machine-learning-based regression and surrogate modelling Motivation to challenge established CFD-driven design workflows
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external control. Autonomous agents that can perceive, reason, plan, act, and learn, together with self-configuring, self-healing, and self-optimising behaviours, provide the foundational principles
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quantitative and programming skills. Experience in CFD software. Strong written and verbal communication skills. To apply, please contact Dr Sampad Sengupta (sampad.sengupta@manchester.ac.uk ). Please include
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candidate should have strong programming skills, particularly in Python, and experience with machine learning algorithms suited for cloud-edge, mobile, or IoT environments. Experience in prototyping and
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. The project will link closely with the recently funded £7.4 million HEARTH programme, the National Research Hub on Net Zero, Health and Extreme Heat. The studentship requires you to undertake the equivalent
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, there will be a programme of support and mentoring available to you. Successful applicants will be offered a place on our RISE Research Leadership Academy , which is designed to develop candidates' leadership
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(or international equivalent) in a relevant science or engineering related discipline. Essential skills: Interest in fluid mechanics and biological flows Strong quantitative and programming skills